{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cd751598",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cb0a619d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tang_data = [np.random.normal(0,std,100) for std in range(1,4)]\n",
    "fig = plt.figure(figsize=(8,6))\n",
    "bplot = plt.boxplot(tang_data,notch=False,sym='s',vert=True)\n",
    "plt.xticks([y+1 for y in range(len(tang_data))],['x1','x2','x3'])\n",
    "plt.xlabel('x')\n",
    "plt.title('box plot')\n",
    "\n",
    "for components in bplot.keys():\n",
    "    for line in bplot[components]:\n",
    "        line.set_color('black')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "66931da2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'box plot')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAq4AAAIQCAYAAABAP+wDAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQAAImtJREFUeJzt3Q2QVeV9+PEfiBCEXYwGiigCNausEVGwOlOdREeLiVZLp4lMEGJUkKioSNIaJBO1tZAmpCKJQ01bXwo1sbRRU4NNrIHQ1hhbCBlqdosaSZggvkwjL4EAyv3POdPdP0tAXlw5+9v9fGbW4717Xx7uci/ffe5zz+lWq9VqAQAAHVz3qgcAAAD7Q7gCAJCCcAUAIAXhCgBACsIVAIAUhCsAACkIVwAAUhCuAACkIFwBAEhBuAIcoNtvvz26desWr7/+emTyyU9+MoYOHVr1MAAOmnAFYJ9mzZoVjz76aNXDALo44QrAPglXoCMQrgAApCBcAQ5Sscb1sssui/r6+jj66KPjpptuil//+tdtLvPmm2/Gn/3Zn8UJJ5wQvXr1KteY3nrrrbFt27by+7VaLc4777zo379/vPrqq63X2759e4wYMaK83q9+9au9jmHp0qXletuHH364vN2BAwdGnz594tJLL421a9fu889Q3PanP/3pGDx4cDm+k046KebMmVOOq0Vx+8XlHnzwwfL/i69ivSzAodbjkN8jQCdRRGsRorNnz45nnnkm5s2bF7/85S/j7/7u71ovM2nSpDL4PvrRj5aB+MMf/rC8fFNTUzzyyCNlBN53331x6qmnxqc+9an45je/WV7vtttui+eee64M0yJE9+XP//zPy9u65ZZbygCeO3duXHDBBbFy5cro3bv3Hq9TxGkRuEuWLImrr746TjvttPjOd74Tf/zHfxy/+MUv4q677iovt2DBgvLPceaZZ8Y111xTnlcENcAhVwPggNx2223FdGTt0ksvbXP+ddddV57/4x//uDy9cuXK8vSkSZPaXO4zn/lMef73vve91vPuvffe8ryFCxfWnnnmmdphhx1WmzZt2j7HsmTJkvJ6xx57bG3jxo2t5//DP/xDef7dd9/det4VV1xRGzJkSOvpRx99tLzMnXfe2eY2P/rRj9a6detWe+GFF1rP69OnT3l9gCpZKgBwkK6//vo2p2+44YZyu3jx4jbb6dOnt7lcMfNa+Pa3v916XjGTeeGFF5a3MXHixHJGs/hA1P76xCc+EXV1da2nixneY445pnUMe1J877DDDosbb7zxN8ZXzMY+8cQT+33/AIeCpQIAB6mhoaHN6SI2u3fvHmvWrClP/+xnPytPv//9729zuWId6pFHHll+f1d/+7d/W97G888/H08//fRe3+Lfn7EUywaK+20Zy54U9z9o0KA2wVtobGxs/T5AR2LGFaCdFLF4IOfvrljP2vKhrVWrVrXr2AA6A+EKcJCKmdFdvfDCC7Fz587Wo1MNGTKkPL375V555ZV44403yu+3ePnll8tlAmPGjInf//3fj8985jMHNOO5+30Ub/UX43m7I2UV979u3brYtGlTm/Obm5tbv3+g8Q3wbhKuAAfpnnvuaXP6K1/5Srn9yEc+Um4vuuiiclt8wn9Xf/mXf1luL7744tbzJk+eXEZusVzga1/7WvTo0aP8pP+uu6V6O8WeDHYN0H/8x38sY7hlLHtSjO+tt96Kr371q23OL/YmUITqrtct9mxQxDZAlaxxBThIL730Urk7qQ9/+MPxgx/8IBYuXBjjx4+PkSNHlt8vtldccUUZokX0fehDH4pnn3223D3W2LFjy/23Fu6///7yg1oPPPBAHHfcca0RPGHChJg/f35cd911+xzLUUcdFeecc05ceeWV5YxuEcvFGtciiPfmkksuKccwc+bMci1sMd7vfve78dhjj8W0adPa7PJq9OjR8a//+q9ldBfrYocNGxZnnXVWOzyKAAeg0n0aACTeHdZPfvKTctdRdXV1tfe+9721qVOn1rZu3drmsjt27KjdcccdtWHDhtUOP/zw2uDBg2szZsyo/frXvy6/v3bt2lq/fv1ql1xyyW/czx/+4R+Wu6H66U9/us/dYX39618vb3fAgAG13r171y6++OLaz372szaX3X13WIVNmzbVbr755tqgQYPK8TU0NNS+9KUv1Xbu3Nnmcs3NzbUPfvCD5W0X92fXWEAVuhX/OZDQBaDjKD7QVcyaLlq0qNwFFkBnZo0rAAApCFcAAFIQrgAApGCNKwAAKZhxBQAgBeEKAEAKnfoABMVRaIrDGdbV1TlcIQBAB1SsWi2O/Fcc3KR79+5dN1yLaB08eHDVwwAAYB/Wrl3bevTALhmuxUxrywNRX19f9XAAANjNxo0by4nGlm7rsuHasjygiFbhCgDQce3Psk4fzgIAIAXhCgBACsIVAIAUhCsAACkIVwAAUhCuAACkIFwBAEhBuAIAkIJwBQAgBeEKAEAKwhUAgBSEKwAAKQhXAABSEK4AAKQgXAEASEG4AgCQgnAFACAF4QoAQArCFQCAFIQrAAApCFcAAFIQrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACsIVAIAUhCsAACkIVwAAUhCuAACkIFwBAEhBuAIAkIJwBQAgBeEKAEAKwhUAgBSEKwAAKQhXAABSEK4AAKQgXAEASEG4AgCQgnAFACAF4QoAQArCFQCAFIQrAAApCFcAAFIQrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACj2qHgDQtT3//POxadOmqodBJ1ZXVxcNDQ1VDwNoB8IVqDRaTzzxxOiqBvbtFlNG94x7l2+P9ZtrVQ+nU1u9erV4hU5AuAKVaZlpXbhwYTQ2NkZX0/uN1dG4bEqM+/wDsfXIrhvw76ampqaYMGGCWX3oJIQrULkiWkeNGhVdzrruEcsiGocPjxh0WtWjAejwfDgLAIAUhCsAACkIVwAAUhCuAACkIFwBAEhBuAIAkIJwBQAgBeEKAEAKwrWdbdmyJVasWFFuAQCy2dKBW0a4trPm5uYYPXp0uQUAyKa5A7eMcAUAIAXhCgBACsIVAIAUhCsAACkIVwAAUhCuAACk0GHD9d///d/j7LPPjqOPPjp69+4dw4cPj7vuuqvqYQEAUJEe0UH16dMnpk6dGqeeemr5/0XITpkypfz/a665purhAQDQVWZcX3vttRg4cGDMmjWr9bynn346evbsGU899VScfvrp8fGPfzw+8IEPxNChQ2PChAlx4YUXxr/9279VNWQAALrijGv//v3jvvvui7Fjx8aYMWPipJNOiokTJ5azrOeff/5vXP5HP/pRGbZ33nnnXm9z27Zt5VeLjRs3xqG2devWctvU1HTI7xuyaXmetDxvoL15TYbO9dpc6VKBiy66KCZPnhyXX355nHHGGeUygNmzZ7e5zHHHHVfOzr755ptx++23x6RJk/Z6e8V177jjjqjSmjVrym0xQwzs//OmWNMO7c1rMnSu1+bK17jOmTMnTjnllFi0aFEsX748evXq1eb7xdKAzZs3xzPPPBOf/exn4/3vf3+5hGBPZsyYEdOnT28z4zp48OA4lIplDYWFCxdGY2PjIb1vyPhbfREULc8baG9ek6FzvTZXHq4vvvhirFu3Lnbu3FmW/YgRI9p8f9iwYeW2OP+VV14pZ133Fq5F9O4evodasQeEQvECOWrUqErHAlm0PG+gvXlNhs712lxpuG7fvr0s+nHjxpVrXItlAKtWrYoBAwbs8fJF3O66hhUAgK6j0nCdOXNmbNiwIebNmxd9+/aNxYsXx1VXXRWPP/543HPPPXH88ceX+28tLFu2rFxWcOONN1Y5ZAAAulq4Ll26NObOnRtLliyJ+vr68rwFCxbEyJEjY/78+eXsarFm9aWXXooePXrECSecEH/xF39R7ssVAICup7JwPffcc2PHjh1tzisWARczsC1uuOGGCkYGAEBH1GEP+QoAALsSrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACsK1nRUHTFi+fHnrgRMAADIZ3oFbptIjZ3VGRxxxhONhAwBpHdGBW8aMKwAAKQhXAABSEK4AAKQgXAEASEG4AgCQgnAFACAF4QoAQAr24wpUZsuWLeV2xYoV0RX1fmN1NEZEU3NzbF2/s+rhdEpNTU1VDwFoR8IVqExzc3O5nTx5cnRFA/t2iymje8a9Xx4f6zfXqh5Op1ZXV1f1EIB2IFyByowdO7bcFocVLI7U0lVdWvUAukC0NjQ0VD0MoB10q9VqnfbX/I0bN0a/fv1iw4YNUV9fX/VwAAB4B73mw1kAAKQgXAEASEG4AgCQgnAFACAF4QoAQArCFQCAFIQrAAApCFcAAFIQrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACsIVAIAUhCsAACkIVwAAUhCuAACkIFwBAEhBuAIAkIJwBQAgBeEKAEAKwhUAgBSEKwAAKQhXAABSEK4AAKQgXAEASEG4AgCQgnAFACAF4QoAQArCFQCAFIQrAAApCFcAAFIQrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACsIVAIAUhCsAACkIVwAAUhCuAACkIFwBAEhBuAIAkIJwBQAgBeEKAEAKwhUAgBSEKwAAKQhXAABSEK4AAKQgXAEASEG4AgCQgnAFACAF4QoAQArCFQCAFIQrAAApCFcAAFIQrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACsIVAIAUhCsAACkIVwAAUhCuAACkIFwBAEhBuAIAkIJwBQAgBeEKAEAKwhUAgBSEKwAAKQhXAABSEK4AAKQgXAEASEG4AgCQgnAFACAF4QoAQArCFQCAFIQrAAApCFcAAFIQrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACsIVAIAUhCsAACkIVwAAUhCuAACkIFwBAEhBuAIAkIJwBQAgBeEKAEAKwhUAgBSEKwAAKQhXAABSEK4AAKQgXAEASEG4AgCQgnAFACAF4QoAQArCFQCAFIQrAAApCFcAAFLoUfUAAKrw/PPPx6ZNm6oeRpdWV1cXDQ0NVQ8DSES4Al0yWk888cToDAb27RZTRveMe5dvj/Wba5HN6tWrxSuw34Qr0OW0zLQuXLgwGhsbI7Peb6yOxmVTYtznH4itR+aJ8aamppgwYYJZb+CACFegyyqiddSoUZHauu4RyyIahw+PGHRa1aMBeFf5cBYAACkIVwAAUhCuAACkIFwBAEhBuAIAkIJwBQAgBeEKAEAKwhUAgBSEK/yfLVu2xIoVK8otANXymsyeCFf4P83NzTF69OhyC0C1vCazJ8IVAIAUhCsAACkIVwAAUhCuAACkIFwBAEihR9UDoOP7+c9/Hq+//vpev/++970vjj/++Ha7HgBAqnD95je/GfPnz4+VK1fGtm3b4gMf+EDcfvvtceGFF1Y9tC6liM/Gxsa33Y/eEUccEU1NTW0i9GCvBwDQbuF6xRVXxNVXXx0f/OAH4920bNmy+L3f+72YNWtWHHnkkXH//ffHJZdcEj/84Q/j9NNPf1fvm/+vmDEt4nPhwoVliO6uCM8JEyaUl9s1QA/2egAA7RauGzZsiAsuuCCGDBkSV155ZRmyxx577IHeTLz22msxYsSIuPHGG+PWW28tz3v66afj3HPPjSeeeCLmzp3b5vJFwD722GPxz//8z8K1AkV8jho16pBdDwDgHYfro48+WkbnggUL4sEHH4zbbrutDNliFvYP/uAP4vDDD9+v2+nfv3/cd999MXbs2BgzZkycdNJJMXHixJg6dWqcf/75v3H5nTt3xqZNm+Koo47a620WSwqKrxYbN2480D8eXdjWrVtbZ4Pp3Fp+xi0/cw49zzf2xfOUdlvjWkTn9OnTy6/iOMLF2/hFdPbt27d8+/e6666LhoaGfd7ORRddFJMnT47LL788zjjjjOjTp0/Mnj17j5edM2dObN68OS677LK93l5x3TvuuONg/kgQa9asKbfF32G6zs/87LPPrnoYXZLnG/vL85R2+3DWyy+/HE8++WT5ddhhh5UhumrVqjj55JPji1/8Ytx88837vI0iSE855ZRYtGhRLF++PHr16vUbl3nooYfKIC2WCgwYMGCvtzVjxowypnedcR08ePA7+BPSlQwdOrTc7m1dLp1Hyxrrlp85h57nG/vieUq7hOuOHTviW9/6VjnL+t3vfjdOPfXUmDZtWowfPz7q6+vLyzzyyCNx1VVX7Ve4vvjii7Fu3bpyKUDxW1Wx7nVX3/jGN2LSpEll2BZLEt5OEb17Cl/YH7179y631uV2vZ85h57nG/vL85R3FK7HHHNMGZkf//jH49lnn43TTjvtNy5z3nnnlXsC2Jft27eXv02NGzeuXONaBGoxY9syq/r1r3+9DOAiXi+++OIDHSrtaG/r0Pa1Pu1grwcA8I7D9a677oqPfexj8Z73vGevlymi9aWXXtrnbc2cObPcS8G8efPK9bGLFy8uQ/Xxxx8vlwcUeyy4++6746yzzor169e3/ubVr1+/Ax02B6k4SECxv9W3W4dWfL+4XHtcDwCg3cK1+BBWe1i6dGm5y6slS5a0LjEo9lQwcuTI8sADDz/8cLz55ptx/fXXl18tiph94IEH2mUM7Fuxj9VidvRAj4B1sNcDAOhwR84q9tdarJfdVbEAu5iBLVx77bUVjYzdFXF5MIF5sNcDANiT7ns8FwAAOhjhCgBACsIVAIAUhCsAACkIVwAAUhCuAACkIFzh/wwfPjyWL19ebgGoltdkOtR+XKGjKY7k5ZjpAB2D12T2xIwrAAApCFcAAFIQrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACvbjCnQ5W7ZsKbcrVqyI7Hq/sToaI6KpuTm2rt8ZWTQ1NVU9BCAh4Qp0Oc3NzeV28uTJkd3Avt1iyuiece+Xx8f6zbXIpq6uruohAIkIV6DLGTt2bLktDiVZHJ2nM7g0ImW0NjQ0VD0MIJFutVot36/o+2njxo3Rr1+/2LBhQ9TX11c9HAAA3kGv+XAWAAApCFcAAFIQrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACsIVAIAUhCsAACkIVwAAUhCuAACkIFwBAEhBuAIAkIJwBQAgBeEKAEAKwhUAgBSEKwAAKQhXAABSEK4AAKQgXAEASEG4AgCQgnAFACAF4QoAQArCFQCAFIQrAAApCFcAAFIQrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACsIVAIAUhCsAACkIVwAAUhCuAACkIFwBAEhBuAIAkIJwBQAgBeEKAEAKwhUAgBSEKwAAKQhXAABSEK4AAKQgXAEASEG4AgCQgnAFACAF4QoAQArCFQCAFIQrAAApCFcAAFIQrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACsIVAIAUhCsAACkIVwAAUhCuAACkIFwBAEhBuAIAkIJwBQAgBeEKAEAKwhUAgBSEKwAAKQhXAABSEK4AAKQgXAEASEG4AgCQgnAFACAF4QoAQArCFQCAFIQrAAApCFcAAFIQrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACsIVAIAUhCsAACkIVwAAUhCuAACkIFwBAEhBuAIAkIJwBQAgBeEKAEAKwhUAgBSEKwAAKQhXAABSEK4AAKQgXAEASEG4AgCQgnAFACAF4QoAQArCFQCAFIQrAAApCFcAAFIQrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACsIVAIAUelQ9AIDMnn/++di0aVN0VnV1ddHQ0FD1MABKwhXgHUTriSeeeEjvc2DfbjFldM+4d/n2WL+5dkjuc/Xq1eIV6BCEK8BBaplpXbhwYTQ2Nh6S++z9xupoXDYlxn3+gdh65LsbzU1NTTFhwoROPaMM5CJcAd6hIlpHjRp1aO5sXfeIZRGNw4dHDDrt0NwnQAfhw1kAAKQgXAEASEG4AgCQgnAFACAF4QoAQArCFQCAFIQrAAApCFcAAFIQrsBebdmyJVasWFFuoSvyHICORbgCe9Xc3ByjR48ut9AVeQ5AxyJcAQBIQbgCAJCCcAUAIAXhCgBACsIVAIAUhCsAACl02HB9+eWXY/z48XHiiSdG9+7dY9q0aVUPCQCACnXYcN22bVv0798/Pve5z8XIkSOrHg4AAF01XF977bUYOHBgzJo1q/W8p59+Onr27BlPPfVUDB06NO6+++74xCc+Ef369atqmAAAdBA9qrrjYjb1vvvui7Fjx8aYMWPipJNOiokTJ8bUqVPj/PPPP+hZ2uKrxcaNG9txxND1bN26tdw2NTVVPZQOqeVxaXmcOhs//87/M4ZsKgvXwkUXXRSTJ0+Oyy+/PM4444zo06dPzJ49+6Bvr7juHXfc0a5jhK5szZo15XbChAlVD6XDP05nn312dDZ+/p3/ZwzZVBquhTlz5sQpp5wSixYtiuXLl0evXr0O+rZmzJgR06dPbzPjOnjw4HYaKXQ9xZKdwsKFC6OxsbHq4XTI2bgi6loep87Gz7/z/4whm8rD9cUXX4x169bFzp07y99oR4wYcdC3VUTvOwlfoK3evXuX2yJaRo0aVfVwOvzj1Nn4+Xf+nzFkU2m4bt++vfxNdty4ceUa10mTJsWqVatiwIABVQ4LAIAOqNJwnTlzZmzYsCHmzZsXffv2jcWLF8dVV10Vjz/+ePn9lStXltvNmzeXeyEoThd7HTj55JOrHDYAAF0pXJcuXRpz586NJUuWRH19fXneggULyn22zp8/P6699to4/fTTWy9frH996KGHYsiQIa0fGAAAoOuoLFzPPffc2LFjR5vzisXvxQxsi1qtVsHIAADoiDrskbMAAGBXwhUAgBSEKwAAKQhXAABSEK4AAKQgXAEASEG4Ans1fPjwch/KxRa6Is8B6FgqPXIW0LEdccQRXf4Y9XRtngPQsZhxBQAgBeEKAEAKwhUAgBSEKwAAKQhXAABSEK4AAKQgXAEASMF+XAEO0pYtW8rtihUrDtl99n5jdTRGRFNzc2xdv/Ndva+mpqZ39fYBDpRwBThIzc3N5Xby5MmH7D4H9u0WU0b3jHu/PD7Wb64dkvusq6s7JPcDsC/CFeAgjR07ttwWhwMtjrB0KF16iO6niNaGhoZDdG8Ab69brVY7NL+yV2Djxo3Rr1+/2LBhQ9TX11c9HAAA3kGv+XAWAAApCFcAAFIQrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACsIVAIAUhCsAACkIVwAAUhCuAACkIFwBAEhBuAIAkIJwBQAgBeEKAEAKwhUAgBSEKwAAKQhXAABSEK4AAKQgXAEASEG4AgCQgnAFACAF4QoAQArCFQCAFIQrAAApCFcAAFIQrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACsIVAIAUhCsAACkIVwAAUhCuAACkIFwBAEhBuAIAkIJwBQAgBeEKAEAKwhUAgBSEKwAAKQhXAABSEK4AAKQgXAEASEG4AgCQgnAFACAF4QoAQArCFQCAFIQrAAApCFcAAFLoEZ1YrVYrtxs3bqx6KAAA7EFLp7V0W5cN102bNpXbwYMHVz0UAAD20W39+vV7u4tEt9r+5G1SO3fujHXr1kVdXV1069YtutJvLkWsr127Nurr66seTmoey/bhcWw/Hsv247FsPx7L9tMVH8tarVZG66BBg6J79+5dd8a1+MMfd9xx0VUVf+G7yl/6d5vHsn14HNuPx7L9eCzbj8ey/XS1x7LfPmZaW/hwFgAAKQhXAABSEK6dUK9eveK2224rt7wzHsv24XFsPx7L9uOxbD8ey/bjsYyu++EsAAA6DzOuAACkIFwBAEhBuAIAkIJwBQAgBeHaBXz729+Os846K3r37h3vfe97Y+zYsVUPKbVt27bFaaedVh6NbeXKlVUPJ501a9bE1VdfHcOGDSv/Tp5wwgnlJ2i3b99e9dBSuOeee2Lo0KHxnve8p3xeP/vss1UPKZ3Zs2fH7/zO75RHVRwwYED5mvg///M/VQ8rvS984Qvl6+K0adOqHkpKv/jFL2LChAlx9NFHl6+NI0aMiP/6r/+qelgdjnDt5P7pn/4pJk6cGFdeeWX8+Mc/jv/4j/+I8ePHVz2s1P7kT/6kPCwdB6e5ubk8HPO9994bzz33XNx1113xV3/1V3HrrbdWPbQO7+GHH47p06eXob9ixYoYOXJkXHjhhfHqq69WPbRUvv/978f1118fzzzzTDz55JOxY8eOGDNmTPzqV7+qemhp/ed//mf5nD711FOrHkpKv/zlL+Pss8+Oww8/PJ544on4yU9+El/+8pfLySZ2U+wOi85px44dtWOPPbb2N3/zN1UPpdNYvHhxbfjw4bXnnnuu2I1c7Uc/+lHVQ+oUvvjFL9aGDRtW9TA6vDPPPLN2/fXXt55+6623aoMGDarNnj270nFl9+qrr5bP5+9///tVDyWlTZs21RoaGmpPPvlk7UMf+lDtpptuqnpI6dxyyy21c845p+phpGDGtRMrZmSKtx66d+8ep59+ehxzzDHxkY98JP77v/+76qGl9Morr8TkyZNjwYIFccQRR1Q9nE5lw4YNcdRRR1U9jA6tWEqxfPnyuOCCC1rPK57bxekf/OAHlY6tM/z9K/g7eHCK2euLL764zd9NDsy3vvWtOOOMM+JjH/tYuXyl+Df7r//6r6seVockXDuxn/70p+X29ttvj8997nPx+OOPl287nHvuufG///u/VQ8vleI4HZ/85CfjU5/6VPniQvt54YUX4itf+UpMmTKl6qF0aK+//nq89dZb8Vu/9Vttzi9Or1+/vrJxZVcsWynWZBZv055yyilVDyedb3zjG+UkSbFumHf27/X8+fOjoaEhvvOd78S1114bN954Yzz44INVD63DEa4Jffazny0XwL/dV8s6wsLMmTPjj/7oj2L06NFx//33l99ftGhR1X+MVI9lEVabNm2KGTNmVD3k9I/lrop3BD784Q+XswzFbDZUMVtYvAtVBBgHZu3atXHTTTfF3//935cfFuTgFf9ejxo1KmbNmlXOtl5zzTXla2Kx/p+2eux2mgQ+/elPl7N/b+e3f/u34+WXXy7//+STT249vzj2cfG9n//85+/6ODvTY/m9732vfDt292NHF7Ovl19+ud+KD+CxbLFu3bo477zz4nd/93fja1/72iEYYW7ve9/74rDDDiuXrOyqOD1w4MDKxpXZ1KlTy3eili1bFscdd1zVw0mnWLpSfDCwCK4WxbsCxeP51a9+tdwDS/F3ln0rlvLt+m91obGxsfyANW0J14T69+9ffu1LMcNahFaxm5dzzjmnPK/49GyxO6IhQ4YcgpF2nsdy3rx5ceedd7aJruLT3MWnvItdErH/j2XLTGsRrS3vAhRrNXl7PXv2LB+vp556qnWXdsUsTXG6CDAObOnPDTfcEI888kgsXbq03DUbB+7888+PVatWtTmv2IPN8OHD45ZbbhGtB6BYqrL7LtlWr17t3+o9EK6dWH19fbkms9h1zuDBg8snwJe+9KXye8Vbs+y/448/vs3pvn37lttiH6Rmag5MEa3FOuvi7+OcOXPitddea/2emcO3V+wK64orrihn+s8888yYO3duuQunIhY4sOUBDz30UDz22GPlvlxb1gj369ev3H8m+6d47HZfF9ynT59yP6TWCx+Ym2++uXz3qVgqcNlll5X7Zy7eifJu1G8Srp1cEao9evQo9+W6devWcnaweNvbvuGoSrHfzOIDWcXX7tFfzISxd+PGjStD//Of/3wZW8WBMP7lX/7lNz6wxdsrPgRTKH6B2lUx+7+v5S7wbigOiFG8A1B8juJP//RPy3cBil9Mi6VotNWt2CfWbucBAECHY2EZAAApCFcAAFIQrgAApCBcAQBIQbgCAJCCcAUAIAXhCgBACsIVAIAUhCsAACkIVwAAUhCuAACkIFwBAIgM/h/FCaY1MfYtDQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tang_data = [np.random.normal(0,std,100) for std in range(1,4)]\n",
    "fig = plt.figure(figsize=(8,6))\n",
    "bplot = plt.boxplot(tang_data,notch=False,sym='s',vert=False)\n",
    "plt.yticks([y+1 for y in range(len(tang_data))],['x1','x2','x3'])\n",
    "plt.ylabel('y')\n",
    "plt.title('box plot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "77d29e18",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.24.3\n",
      "[1 2 3]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "print(np.__version__)  # 输出版本号，如 1.24.3\n",
    "arr = np.array([1, 2, 3])\n",
    "print(arr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "44530555",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'box plot')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tang_data = [np.random.normal(0,std,100) for std in range(1,4)]\n",
    "fig = plt.figure(figsize=(8,6))\n",
    "bplot = plt.boxplot(tang_data,notch=True,sym='s',vert=False)\n",
    "plt.xticks([y+1 for y in range(len(tang_data))],['x1','x2','x3'])\n",
    "plt.xlabel('x')\n",
    "plt.title('box plot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "777ffbec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tang_data = [np.random.normal(0,std,100) for std in range(1,4)]\n",
    "fig = plt.figure(figsize=(8,6))\n",
    "bplot = plt.boxplot(tang_data,notch=False,sym='s',vert=True,patch_artist=True)\n",
    "plt.xticks([y+1 for y in range(len(tang_data))],['x1','x2','x3'])\n",
    "plt.xlabel('x')\n",
    "plt.title('box plot')\n",
    "\n",
    "colors =['pink','lightblue','lightgreen']\n",
    "\n",
    "for pathch,color in zip(bplot['boxes'],colors):\n",
    "    pathch.set_facecolor(color)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a106c572",
   "metadata": {},
   "source": [
    "## 小提琴图violinplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a7dcb7c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "plt.style.use('_mpl-gallery')\n",
    "\n",
    "# make data:\n",
    "np.random.seed(10)\n",
    "D = np.random.normal((3, 5, 4), (0.75, 1.00, 0.75), (200, 3))\n",
    "\n",
    "# plot:\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "vp = ax.violinplot(D, [2, 4, 6], widths=2,\n",
    "                   showmeans=False, showmedians=False, showextrema=False)\n",
    "# styling:\n",
    "for body in vp['bodies']:\n",
    "    body.set_alpha(0.9)\n",
    "ax.set(xlim=(0, 8), xticks=np.arange(1, 8),\n",
    "       ylim=(0, 8), yticks=np.arange(1, 8))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "10f6f6b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "matplotlib 版本: 3.10.1\n"
     ]
    }
   ],
   "source": [
    "import matplotlib\n",
    "print(\"matplotlib 版本:\", matplotlib.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "00e20282",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.11.4 | packaged by Anaconda, Inc. | (main, Jul  5 2023, 13:38:37) [MSC v.1916 64 bit (AMD64)]\n",
      "D:\\ProgramData\\Anaconda3\\python.exe\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "print(sys.version)\n",
    "print(sys.executable)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ce76cd82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "r = np.arange(0, 2, 0.01)\n",
    "theta = 2 * np.pi * r\n",
    "\n",
    "fig, ax = plt.subplots(subplot_kw={'projection': 'polar'})\n",
    "ax.plot(theta, r)\n",
    "ax.set_rmax(2)\n",
    "ax.set_rticks([0.5, 1, 1.5, 2])  # Less radial ticks\n",
    "ax.set_rlabel_position(-22.5)  # Move radial labels away from plotted line\n",
    "ax.grid(True)\n",
    "\n",
    "ax.set_title(\"A line plot on a polar axis\", va='bottom')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "235e57fe",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
